Statistical Learning with R

Calculate the simple moving average of an array.

Demand forecasting application WPF MVVM

Implementation of a simple moving average crossover strategy for AMD's historical data from 2010 to end of 2019.

Python module for calculating stock charts using yfinance and pandas

Stock price prediction for HDFC bank based on OHLC, volume and 5SMA.

We are examining the correlation between covid-19 mortality/morbidity and vaccination

📈 Application of neural networks in the prediction of PETR4.SA shares, compared with statistical models

EDA performed on timeseries data and different plots to get insights from data visualizations

Compare, evaluate, and predict ELAN stock price using Monte Carlo Simulation, FB Prophet, SMA, k-Nearest Neighbors, Arima, LSTM, and EMA.

Send database table (rows filtered by criteria) to Kafka

I performed statistical analysis and experimental machine learning strategy using 1 day historical data of Bitcoin

Comparison of SMA and EMA gains on 1D timeframe

Multithreaded stock market simulation that allows for different trading bots running various financial strategies and technical indicators. Creates a Market Making Bot running off of AAPL data.

Simple Moving Averages (SMA) and Autoregression (AR) Yule Walker Model for time series data representing temperature change and electrical consumption.

Anomaly-Detection-for-Tesla-Stock-Price-Data

Colaboratory notebook that implements several strategic indicators that are commonly used in the financial ecosystem. Enter a ticker symbol for an equity (ETF, cryptocurrency, et. al.), a start date, and an end date for the analysis. Run all and let the analysis begin. Note: This is not financial advise, use at your own risk.

A python package to extract historical market data of cryptocurrencies and to calculate technical price indicators.